ds002001
Rivalry_Tagging
MEG MRI
- Participants
- 10
Discover datasets
96 results for "neuroimaging" · page 6 of 10 · ranked by relevance
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- nm000242
Visual imagery EEG dataset from Gao et al 2026
EEGA 32-channel EEG dataset comprising visual imagery recordings from 22 healthy participants performing mental imagery tasks of 10 distinct categories (animals, geometric figures, and objects). The dataset contains 16,800 trials collected across 2 sessions per subject with simultaneous EEG acquisition at 1000 Hz, designed to support brain-computer interface research and classification algorithm development.
- Size
- 31.7 GB
- Updated
- Jun 3, 2026
- ds007554
Multimodal dataset from the CMx7-MM Experiment
EEG BEH NIRS- Participants
- 30
- nm000140
BNCI 2015-001 Motor Imagery dataset
EEG- Size
- 1.13 GB
- Updated
- May 16, 2026
- ds006648
Poetry Assessment EEG Dataset 1
EEG- Participants
- 47
- nm000156
Hybrid EEG-fNIRS MI dataset for ICH from Shi et al 2025
EEG- Size
- 2.59 GB
- Updated
- May 25, 2026
- ds004541
Multimodal EEG-fNIRS data from patients undergoing general anesthesia
EEG NIRS- Participants
- 8
- nm000338
Lee et al. 2019 (Motor Imagery) — EEG dataset and OpenBMI toolbox for three BCI paradigms: an investigation into BCI illiteracy
EEGA comprehensive EEG dataset comprising 54 healthy subjects performing three major brain-computer interface (BCI) paradigms—motor imagery, event-related potentials, and steady-state visually evoked potentials—across two sessions. The dataset investigates BCI illiteracy rates and performance variations, revealing that motor imagery exhibits the highest illiteracy rate (53.7%) compared to other paradigms, while all participants demonstrated proficiency with at least one BCI system.
- Size
- 60.8 GB
- Updated
- Jun 3, 2026
- nm000268
Shin et al. 2017 (Experiment B) — Open Access Dataset for EEG+NIRS Single-Trial Classification
EEGThis open-access hybrid brain-computer interface dataset combines simultaneous EEG and near-infrared spectroscopy (NIRS) recordings from 29 healthy subjects performing mental arithmetic and motor imagery tasks. Experiment B focuses on mental arithmetic (serial subtraction) versus rest conditions across six sessions with 20 trials per session. The dataset includes preprocessed EEG data (30 channels, 200 Hz sampling rate) with comprehensive artifact correction and has been validated for single-trial classification using common spatial patterns and linear discriminant analysis.
- Size
- 1.87 GB
- Updated
- Jun 3, 2026
- ds004024
TMS-EEG-MRI-fMRI-DWI data on paired associative stimulation and connectivity (Shirley Ryan AbilityLab, Chicago, IL)
EEG MRI- Participants
- 13